Robust fixed-time synchronization of discontinuous Cohen–Grossberg neural networks with mixed time delays
Articles
Fanchao Kong
Anhui Normal University
Quanxin Zhu
Hunan Normal University
Feng Liang
Anhui Normal University
Juan J. Nieto
Universidade de Santiago de Compostela
Published 2019-06-27
https://doi.org/10.15388/NA.2019.4.7
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Keywords

fixed-time synchronization
discontinuous neuron activations
functional differential inclusions theory
mixed time delays

How to Cite

Kong F., Zhu Q., Liang F. and Nieto J. J. (2019) “Robust fixed-time synchronization of discontinuous Cohen–Grossberg neural networks with mixed time delays”, Nonlinear Analysis: Modelling and Control, 24(4), pp. 603–625. doi: 10.15388/NA.2019.4.7.

Abstract

This paper aims to investigate the fixed-time synchronization (i.e., synchronization in fixed-time sense) of Cohen–Grossberg drive-response neural networks with discontinuous neuron activations and mixed time delays (both time-varying discrete delay and distributed delay). To accomplish the target of fixed-time synchronization, a novel discontinuous feedback control procedure is firstly designed for the response neural networks. Then, under the framework of Filippov solutions, by means of functional differential inclusions theory, inequality technique and the nonsmooth analysis theory with Lyapunov-like approach, some sufficient criteria are derived to design the control parameters for achieving fixed-time synchronization of the proposed drive-response systems. Finally, two numerical examples are presented to illustrate the proposed methodologies.

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